Author

Akanksha Sharma

Institute of Himalayan Bioresource TechnologyORCID 0000-0002-9643-377XUnclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Approach:deep learning· 2 Research Focus:gene regulatory network inference· 2 Organism:plant (other)· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Ravi ShankariD· 2 shared Umesh Bhati· 2 shared Anchit Kumar· 1 shared Jyoti· 1 shared Sagar GuptaiD· 1 shared Sagar GuptaiD· 1 shared Upendra Kumar PradhaniD· 1 shared Veerbhan KesarwaniiD· 1 shared

Activity by Year

2025-2025 · peak 2/yr

Co-Author Collaboration Network

8 top collaborators · 19 mutual co-author links

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2 shared papersBioinformatics

Ravi ShankarORCID

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2 papers

Recent·Most cited

BioinformaticsPlant CommunicationsPeer-reviewedOct 1, 2025

PTF-Vac: An explainable and generative deep co-learning encoders-decoders system for ab-initio discovery of plant transcription factor binding sites

Sagar Gupta, Jyoti, Umesh Bhati…·Ravi Shankar

PTF-Vac discovers plant transcription factor binding sites using a generative deep learning model that outperforms existing methods and is independent of species and predefined motifs.

10 citations

plant (other)DNA methylation

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BioinformaticsCurrent Plant BiologyPeer-reviewedAug 5, 2025

Decoding stress specific transcriptional regulation by causality aware Graph-Transformer deep learning

Umesh Bhati, Akanksha Sharma, Sagar Gupta…·Ravi Shankar

The paper introduces CTF-BIND, a deep learning framework that detects TF binding from RNA-seq data without ChIP-seq, achieving 93% accuracy in plant stress response analysis.

7 citations

plant (other)ChIP-seq

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